Optimal Control at Large

Project Information

OCAL

Grant agreement ID: 787845

DOI

10.3030/787845

Project closed

EC signature date 28 May 2018

Start date 1 November 2018

End date 31 October 2024

Funded under

• EXCELLENT SCIENCE - European Research Council (ERC)

Total cost

€ 2 497 058,00

EU contribution

€ 2 497 058,00

Coordinated by

EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH
Switzerland

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Publications

Peer reviewed articles (28)

Efficient sample selection for safe learning*

Author(s): Marta Zagorowska, Efe C. Balta, Varsha Behrunani, Alisa Rupenyan, John Lygeros
Published in: IFAC-PapersOnLine, Issue 56, 2024, Page(s) 10107-10112, ISSN 2405-8963
Publisher: Elsevier
DOI: 10.1016/j.ifacol.2023.10.882

On the asymptotic behavior of the Douglas–Rachford and proximal-point algorithms for convex optimization

Author(s): Goran Banjac, John Lygeros
Published in: Optimization Letters, 2021, ISSN 1862-4472
Publisher: Springer Verlag
DOI: 10.1007/s11590-021-01706-3

Data-driven optimal control with a relaxed linear program

Author(s): Andrea Martinelli; Matilde Gargiani; John Lygeros
Published in: Automatica, 136, Issue 12, 2022, ISSN 0005-1098
Publisher: Pergamon Press Ltd.
DOI: 10.3929/ethz-b-000519668

Distributionally Robust Chance Constrained Data-enabled Predictive Control

Author(s): J. Coulson, J. Lygeros, F. Dörfler
Published in: IEEE Transactions on Automatic Control, 2021, ISSN 1558-2523
Publisher: IEEE
DOI: 10.1109/tac.2021.3097706

Semidecentralized Zeroth-Order Algorithms for Stochastic Generalized Nash Equilibrium Seeking

Author(s): Suli Zou; John Lygeros
Published in: IEEE Transactions on Automatic Control, 68 (2), Issue 12, 2022, ISSN 1558-2523
Publisher: IEEE
DOI: 10.1109/tac.2022.3151225

On the Synthesis of Bellman Inequalities for Data-Driven Optimal Control

Author(s): Martinelli, Andrea; Gargiani, Matilde; Lygeros, John
Published in: 60th Conference on Decision and Control (CDC 2021), Online, December 14-17, 2021, Issue 1, 2021, ISSN 2576-2370
Publisher: IEEE
DOI: 10.1109/cdc45484.2021.9683070

Two-Stage Dual Dynamic Programming with Application to Nonlinear Hydro Scheduling

Author(s): Flamm, Benjamin; Eichler, Annika; id_orcid0000-0003-3282-3135; Warrington, Joseph; Lygeros, John; id_orcid0000-0002-6159-1962
Published in: IEEE Transactions on Control Systems Technology, 29 (1), Issue 7, 2021, ISSN 1558-0865
Publisher: IEEE
DOI: 10.3929/ethz-b-000388081

The Nash Equilibrium With Inertia in Population Games

Author(s): B. Gentile, D. Paccagnan, B. Ogunsula, Lygeros
Published in: IEEE Transactions on Automatic Control, Issue 66(12), 2021, Page(s) 5742 - 5755, ISSN 1558-2523
Publisher: IEEE
DOI: 10.1109/tac.2020.3044007

Accelerated Point-wise Maximum Approach to Approximate Dynamic Programming

Author(s): P.N. Beuchat, J. Warrington, J. Lygeros
Published in: IEEE Transactions on Automatic Control, Issue 4, 2021, ISSN 1558-2523
Publisher: IEEE
DOI: 10.3929/ethz-b-000463046

Data‐enabled predictive control for quadcopters

Author(s): E. Elokda, J. Coulson, P.N. Beuchat, J. Lygeros, F. Dörfler
Published in: International Journal of Robust and Nonlinear Control, Issue 2, 2021
Publisher: Wiley
DOI: 10.1002/rnc.5686

An Extended Kalman Filter for Data-Enabled Predictive Control

Author(s): Daniele Alpago; Florian Dorfler; John Lygeros
Published in: IEEE Control Systems Letters, 4 (4), Issue 4, 2020, ISSN 2475-1456
Publisher: IEEE
DOI: 10.3929/ethz-b-000425063

Learning Q-function approximations for hybrid control problems

Author(s): Sandeep Menta, Joseph Warrington, John Lygeros, Manfred Morari
Published in: IEEE Control Systems Letters, Issue vol. 6, 2021, Page(s) 1-1, ISSN 2475-1456
Publisher: IEEE
DOI: 10.1109/lcsys.2021.3094764

A Distributed Algorithm For Almost-Nash Equilibria of Average Aggregative Games With Coupling Constraints

Author(s): Francesca Parise; Basilio Gentile; John Lygeros
Published in: IEEE Transactions on Control of Network Systems, 7 (2), Issue 8, 2019, ISSN 2325-5870
Publisher: IEEE CONTROL SYSTEMS SOCIETY
DOI: 10.3929/ethz-b-000424125

Inexact GMRES Policy Iteration for Large-Scale Markov Decision Processes

Author(s): Matilde Gargiani, Dominic Liao-McPherson, Andrea Zanelli, John Lygeros
Published in: IFAC-PapersOnLine, Issue 56, 2024, Page(s) 11249-11254, ISSN 2405-8963
Publisher: Elsevier
DOI: 10.1016/j.ifacol.2023.10.316

Dynamic Programming Through the Lens of Semismooth Newton-Type Methods

Author(s): M. Gargiani; A. Zanelli; D. Liao-McPherson; T. H. Summers; J. Lygeros
Published in: IEEE Control Systems Letters, Issue 6, 2022, ISSN 2475-1456
Publisher: IEEE
DOI: 10.1109/lcsys.2022.3181213

GPU acceleration of ADMM for large-scale quadratic programming

Author(s): M. Schubiger, G. Banjac, and J. Lygeros
Published in: Journal of Parallel and Distributed Computing, 2020, ISSN 0743-7315
Publisher: Academic Press

Performance Guarantees for Model-Based Approximate Dynamic Programming in Continuous Spaces

Author(s): Paul Nathaniel Beuchat, Angelos Georghiou, John Lygeros
Published in: IEEE Transactions on Automatic Control, Issue 65/1, 2020, Page(s) 143-158, ISSN 0018-9286
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/TAC.2019.2906423

Two-Stage Dual Dynamic Programming With Application to Nonlinear Hydro Scheduling

Author(s): Benjamin Flamm, Annika Eichler, Joseph Warrington, John Lygeros
Published in: IEEE Transactions on Control Systems Technology, Issue 29/1, 2021, Page(s) 96-107, ISSN 1063-6536
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tcst.2019.2961645

On the minimal displacement vector of the Douglas–Rachford operator

Author(s): Banjac, Goran; id_orcid0000-0001-6038-1587
Published in: Operations Research Letters, 49 (2), Issue 7, 2021, ISSN 0167-6377
Publisher: Elsevier BV
DOI: 10.3929/ethz-b-000465833

Automatic Scenario Generation for Robust Optimal Control Problems*

Author(s): M. Zagorowska, P. Falugi, E. O'Dwyer, E.C. Kerrigan
Published in: IFAC-PapersOnLine, Issue 56, 2024, Page(s) 1229-1234, ISSN 2405-8963
Publisher: Elsevier
DOI: 10.1016/j.ifacol.2023.10.1743

Passivity-Based Decentralized Control for Discrete-Time Large-Scale Systems

Author(s): Ahmed Aboudonia, Andrea Martinelli, John Lygeros
Published in: IEEE Control Systems Letters, Issue 5/6, 2021, Page(s) 2072-2077, ISSN 2475-1456
Publisher: IEEE
DOI: 10.1109/lcsys.2020.3046967

Distributed Model Predictive Control with Reconfigurable Terminal Ingredients for Reference Tracking

Author(s): Ahmed Aboudonia; Annika Eichler; Francesco Cordiano; Goran Banjac; John Lygeros
Published in: IEEE Transactions on Automatic Control, 67 (11), Issue 3, 2022, ISSN 1558-2523
Publisher: IEEE
DOI: 10.48550/arxiv.2007.00427

Joint Chance Constrained Optimal Control via Linear Programming

Author(s): Niklas Schmid, Marta Fochesato, Tobias Sutter, John Lygeros
Published in: IEEE Control Systems Letters, Issue 8, 2024, Page(s) 736-741, ISSN 2475-1456
Publisher: IEEE
DOI: 10.1109/lcsys.2024.3403470

Data-Driven Optimal Control of Affine Systems: A Linear Programming Perspective

Author(s): Andrea Martinelli; Matilde Gargiani; Marina Draskovic; John Lygeros
Published in: IEEE Control Systems Letters, 6, 2022, ISSN 2475-1456
Publisher: IEEE
DOI: 10.1109/lcsys.2022.3180898

Robust Data-Enabled Predictive Control: Tractable Formulations and Performance Guarantees

Author(s): Linbin Huang; Jianzhe Zhen; John Lygeros; Florian Dörfler
Published in: IEEE Transactions on Automatic Control, Issue 12, 2023, ISSN 1558-2523
Publisher: IEEE
DOI: 10.1109/tac.2023.3241282

Degradation-aware data-enabled predictive control of energy hubs

Author(s): Varsha Behrunani, Marta Zagorowska, Mathias Hudoba de Badyn, Francesco Ricca, Philipp Heer, John Lygeros
Published in: Journal of Physics: Conference Series, Issue 2600, 2023, Page(s) 072006, ISSN 1742-6588
Publisher: Institute of Physics
DOI: 10.1088/1742-6596/2600/7/072006

Online Linear Quadratic Tracking With Regret Guarantees

Author(s): Aren Karapetyan, Diego Bolliger, Anastasios Tsiamis, Efe C. Balta, John Lygeros
Published in: IEEE Control Systems Letters, Issue 7, 2024, Page(s) 3950-3955, ISSN 2475-1456
Publisher: IEEE
DOI: 10.1109/lcsys.2023.3345809

Parallel and Flexible Dynamic Programming Via the Mini-Batch Bellman Operator

Author(s): Gargiani, Matilde; Martinelli, Andrea; Martinez, Max Ruts; Lygeros, John
Published in: IEEE Transactions on Automatic Control, Issue 12, 2023, ISSN 1558-2523
Publisher: IEEE
DOI: 10.1109/tac.2023.3270060

Conference proceedings (17)

Online Computation of Terminal Ingredients in Distributed Model Predictive Control for Reference Tracking

Author(s): Aboudonia, Ahmed; Banjac, Goran; Eichler, Annika; Lygeros, John
Published in: 2022 European Control Conference (ECC), Issue 1, 2022
Publisher: IEEE
DOI: 10.23919/ecc55457.2022.9838088

Scenario-based Stochastic MPC for systems with uncertain dynamics

Author(s): Micheli, Francesco; Lygeros, John
Published in: 2022 European Control Conference (ECC), Issue 1, 2022
Publisher: IEEE
DOI: 10.23919/ecc55457.2022.9838080

Data-driven distributionally robust MPC for systems with uncertain dynamics

Author(s): Micheli, Francesco; Summers, Tyler; Lygeros, John; id_orcid0000-0002-6159-1962
Published in: 2022 IEEE 61st Conference on Decision and Control (CDC), Issue 1, 2022
Publisher: IEEE
DOI: 10.1109/cdc51059.2022.9992469

Efficient performance bounds for primal-dual reinforcement learning from demonstrations

Author(s): Angeliki Kamoutsi, Goran Banjac, John Lygeros
Published in: International Conference on Machine Learning (ICML), 2021
Publisher: Proceedings of Machine Learning Research

Reconfigurable Plug-and-play Distributed Model Predictive Control for Reference Tracking

Author(s): Aboudonia, Ahmed; Martinelli, Andrea; Hoischen, Nicolas; Lygeros, John
Published in: IEEE Conference on Decision and Control (CDC), 2022, Issue 1, 2022
Publisher: IEEE
DOI: 10.3929/ethz-b-000591436

Constrained Optimal Tracking Control of Unknown Systems: A Multi-Step Linear Programming Approach *

Author(s): Alexandros Tanzanakis, John Lygeros
Published in: 2020 59th IEEE Conference on Decision and Control (CDC), 2020, Page(s) 2455-2462, ISBN 978-1-7281-7447-1
Publisher: IEEE
DOI: 10.1109/cdc42340.2020.9304315

Probabilistic Reachability and Invariance Computation of Stochastic Systems using Linear Programming

Author(s): Schmid, Niklas; Lygeros, John; id_orcid0000-0002-6159-1962
Published in: IFAC-PapersOnLine, 56 (2), Issue 4, 2023
Publisher: Elsevier
DOI: 10.3929/ethz-b-000616709

Implications of Regret on Stability of Linear Dynamical Systems

Author(s): Karapetyan, Aren; Tsiamis, Anastasios; id_orcid0000-0002-7935-7541; Balta, Efe C.; Iannelli, Andrea; id_orcid0000-0002-1865-6978; Lygeros, John; id_orcid0000-0002-6159-1962
Published in: 22nd IFAC World Congress, Issue 4, 2023
Publisher: Elsevier
DOI: 10.3929/ethz-b-000616540

Data-driven control of unknown systems: a linear programming approach

Author(s): A. Tanzanakis, J. Lygeros
Published in: IFAC-PapersOnLine, 53 (2), 2020, ISSN 2405-8963
Publisher: Elsevier
DOI: 10.3929/ethz-b-000461397

Control of networked systems by clustering: the degree of freedom concept

Author(s): A. Martinelli, J. Lygeros
Published in: IFAC-PapersOnLine, 53 (2), 2020, ISSN 2405-8963
Publisher: Elsevier
DOI: 10.3929/ethz-b-000461396

Learning solutions to hybrid control problems using Benders cuts

Author(s): S. Menta, J. Warrington, J. Lygeros, and M. Morari
Published in: Learning for Dynamics and Control (L4DC), 2020
Publisher: -

A data-driven policy iteration scheme based on linear programming

Author(s): G. Banjac, J. Lygeros
Published in: IEEE Conference on Decision and Control (CDC), 2019, ISSN 2576-2370
Publisher: IEEE

Stochastic convex optimization for provably efficient apprenticeship learning,

Author(s): A. Kamoutsi, G. Banjac, J. Lygeros
Published in: NeurIPS 2019 Optimization Foundations for Reinforcement Learning Workshop, 2019
Publisher: -

Policy Iteration for Multiplicative Noise Output Feedback Control

Author(s): Gravell, Benjamin; Gargiani, Matilde; Lygeros, John; Summers, Tyler H.
Published in: 2022 IEEE 61st Conference on Decision and Control (CDC), Issue 1, 2022
Publisher: IEEE
DOI: 10.1109/cdc51059.2022.9993098

Quadratic Regularization of Data-Enabled Predictive Control: Theory and Application to Power Converter Experiments

Author(s): L. Huang, J. Zhen, J. Lygeros, F. Dörfler
Published in: 19th IFAC Symposium on System Identification, SYSID 2021, 2021
Publisher: Elsevier
DOI: 10.1016/j.ifacol.2021.08.357

PAGE-PG: A Simple and Loopless Variance-Reduced Policy Gradient Method with Probabilistic Gradient Estimation

Author(s): Matilde Gargiani, Andrea Zanelli, Andrea Martinelli, Tyler Summers, John Lygeros
Published in: Proceedings of the 39th International Conference on Machine Learning, Issue 1, 2022
Publisher: PMLR
DOI: 10.3929/ethz-b-000592386

Game Theoretic Stochastic Energy Coordination under A Distributed Zeroth-order Algorithm

Author(s): Y. Chen, S. Zou and J. Lygeros
Published in: IFAC-PapersOnLine, 53 (2), 2020, ISSN 2405-8963
Publisher: Elsevier
DOI: 10.3929/ethz-b-000462601

Thesis and dissertations (1)

Control of Large-Scale Discrete-Time Systems - Dissipativity, Optimality, and Learning

Author(s): Martinelli, Andrea; id_orcid0000-0003-3206-9814
Published in: Doctoral Thesis ETH Zurich, Issue 1, 2024
Publisher: ETH Zurich
DOI: 10.3929/ethz-b-000672179